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Fig 9. Gene co-expression network of Xenopus neurula visualized biologically meaningful relationships between weighted gene co-expression network analysis (WGCNA) groups and subsets of genes. We obtained a gene co- expression network using a large input gene list, including Wnt-related transcripts, neural, neural crest (NC), placode, and mesoderm genes as input nodes (large points, S10 Table). The p-value cutoff <1E-09 generated 2,001 nodes (small points indicate closely correlated genes; the color of the points refers to a given WGCNA group) and 4,945 edges. Circles are drawn to groups of genes with close spatial/temporal expression patterns. The group was named based on known members of the group. Groups are linked to other groups with positive (thin line) or negative (thick line) correlation. As an example, NC genes (groups #51 and #132) and placodes (group #38, in green) display negative correlation of expression with posterior genes (groups #23, #20, thick lines). The network also indicates interactions between ventral genes such as ventx genes (group #138), positively correlated with bmp4 and bmp7.2 (thin lines). When running the EctoMap application, the network is interactive and indicates each gene name upon selection.

Image published in: Plouhinec JL et al. (2017)

© 2017 Plouhinec et al. This image is reproduced with permission of the journal and the copyright holder. This is an open-access article distributed under the terms of the Creative Commons Attribution license

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